Data scientists

Resources for data scientists who want to boost their machine learning models with external data.

  • Security and Compliance in External Data Acquisition

    Security and Compliance in External Data Acquisition

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  • Power Your BI & ML with External Data, Pain Free!31:19

    Power Your BI & ML with External Data, Pain Free!

    Organizations across the industry realize that access to external or alternative data is key to their competitive advantage and business success. They are looking for ways to connect to the broader da

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  • Explorium Launches Signal Studio - Complete External Data Enrichment for Brand New Business Breakthroughs

    Explorium Launches Signal Studio - Complete External Data Enrichment for Brand New Business Breakthroughs

    Whatever your business challenge, you’ll need data you can rely on to solve it.  It’s highly unlikely that the data you have in-house offers the scope The post Explorium Launches Signal Studio -...

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  • Bias or Variance? How Each Affects Your Model and Why You Should Care

    Bias or Variance? How Each Affects Your Model and Why You Should Care

    We explain the difference between machine learning bias and variance, why it’s so hard to fix both at once, and how they can impact your model.

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  • What is Feature Engineering?

    What is Feature Engineering?

    What is feature engineering, and why should you automate it? In this blog post, we answer these questions and more.

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  • The Most Common Errors in ML Projects and How to Avoid Them

    The Most Common Errors in ML Projects and How to Avoid Them

    In this whitepaper, we cover some of the most common errors in ML initiatives, and best practices to avoid them

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  • The Data Science Buzzwords and Acronyms That Defined 2020

    The Data Science Buzzwords and Acronyms That Defined 2020

    In the spirit of the new year, let’s take a look back at all the acronyms, buzzwords, and terms that dominated data science in 2020.

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  • Best of the Best: Our Top 10 Blog Posts of 2020

    Best of the Best: Our Top 10 Blog Posts of 2020

    Before we turn the page on 2020, let’s look back at our top ten blogs of the year that was.

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  • 2020 Data Science Review (and What to Expect in 2021)

    2020 Data Science Review (and What to Expect in 2021)

    In this 2020 wrap-up, we polled our in-house experts, drawing together their tips and insights for the end of the year and for what's to come in 2021.

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  • Webinar: Find and Use the Data You Need With Augmented Data Discovery46:39

    Webinar: Find and Use the Data You Need With Augmented Data Discovery

    In this on-demand webinar, learn how you can use Explorium for augmented data discovery and connect to the data you need for better business insights.

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  • How Explorium Upgrades Your Data Pipeline

    How Explorium Upgrades Your Data Pipeline

    Building a sustainable data pipeline is critical to accurate machine learning models. Learn how Explorium supports you at every point in the process.

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  • 4 Ways To Know If You’re Using the Right Data Preparation Tools

    4 Ways To Know If You’re Using the Right Data Preparation Tools

    In this blog post, we look at the key questions you need to ask to make sure you’re using the data preparation tools you really need.

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  • Machine Learning in Retail: Building Smarter Inventory Models

    Machine Learning in Retail: Building Smarter Inventory Models

    See how machine learning in retail can help you build better inventory management systems.

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  • How to Improve Your Training Data for Vastly Better Machine Learning

    How to Improve Your Training Data for Vastly Better Machine Learning

    Making your training data better is much easier than you think, and you can use several easy strategies for quick wins.

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  • 4 Steps You Must Take to Prepare for Predictive Model Deployment

    4 Steps You Must Take to Prepare for Predictive Model Deployment

    In this article, we explain how to get ready for predictive model deployment, from preparing data pipelines to retraining ML models.

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  • What Is Augmented Data Discovery with Explorium?

    What Is Augmented Data Discovery with Explorium?

    With so much data in your own stores, it’s tempting to think you have all you need to start producing great predictive insights. This might be The post What Is Augmented Data Discovery with...

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  • Top Tips for Data Preparation Using Python

    Top Tips for Data Preparation Using Python

    Your machine learning model is only as good as the data you feed into it. That makes data preparation (or cleaning, wrangling, cleansing, pre-processing, or any The post Top Tips for Data...

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  • How to Deploy and Future-Proof Your Models: From Theory to Production

    How to Deploy and Future-Proof Your Models: From Theory to Production

    It’s no secret that while most organizations understand the importance of machine learning, most initiatives never make it off the ground. Follow this guide to guarantee you make it to production.

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  • Domain Knowledge in Data Science: Are Your Models Ready for Business?

    Domain Knowledge in Data Science: Are Your Models Ready for Business?

    In this in-depth article, we explain how the right questions will help you get the domain knowledge you need for data science for business.

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  • How Will Data Privacy Look in The Future?

    How Will Data Privacy Look in The Future?

    Data privacy continues to be a major hurdle for risk officers. In this article, we explain how the global increase in data surveillance creates short term opportunities but long term risks.

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